科技職缺
職缺列表
Data Scientist - Audiobooks Analytics
Data scientist on Spotify's Audiobooks Analytics team developing data-driven strategies for catalog, discovery, engagement, and subscriber growth, using forecasting, scenario modeling, and impact measurement to evaluate product, content, and licensing opportunities.
Senior Data Scientist
Senior Data Scientist at Air New Zealand building and deploying data science, machine learning, and optimization solutions from concept to production across the enterprise using Python on complex datasets.
Data Scientist Graduate Co-op
Graduate co-op developing AI/ML analysis and application software in Python for Department of Defense customers. Day-to-day work spans data preparation, statistical analysis, visualization, ML model development, and collaboration with cross-functional teams.
Senior Staff Data Scientist - Consumer Experimentation
Senior technical leader driving experimentation methodology and causal inference across Reddit's Consumer organization, designing and analyzing A/B tests that account for network effects, spillovers, and interference in a large-scale community platform.
Staff Data Scientist, Marketing
Staff Data Scientist leading marketing measurement strategy at Reddit — architects Media Mix Models, Multi-Touch Attribution, and incrementality experiments to optimize hundreds of millions in B2B/B2C marketing spend using Python/R, SQL, and causal inference.
Senior Data Scientist - Consumer
Senior Data Scientist on Reddit's Consumer team driving product strategy through causal analysis, A/B experimentation, KPI design, and stakeholder communication. Builds ETL pipelines, dashboards, and self-serve tools using SQL and Python/R.
Staff Data Scientist, Consumer
Staff Data Scientist on Reddit's Consumer team shaping product strategy through exploratory analysis, experimentation, metrics/ETL design, and causal inference using SQL and Python/R to improve user acquisition, engagement, and retention.
Staff Data Scientist, Consumer
Staff Data Scientist on Reddit's Consumer team guiding product strategy through exploratory analysis, experimentation, and metric design. Core stack: SQL, Python/R, ETL, causal inference, and statistical modeling to grow engagement and retention.